In the area of competitive learning a rather large number of models exist which have similar goals but differ considerably in the way they work. A common goal of those algorithms is to distribute a certain number of vectors in a possibly high-dimensional space. The distribution of these vectors should reflect (in one of several possible ways) the distribution of input signals which in general is not given explicitly but only through sample vectors.